Description
Data Engineer - London
The Digital Architecture and Engineering team is a centre of excellence, tasked with servicing the growing need for integrated data systems and data driven insights.
The team primarily work with the Azure cloud platform, including Data Lake, Data Factory, Data Brick, SQL Server, Postgres, Python Azure Functions and Azure DevOps
Requirements:
- BSc in a scientific or computer science discipline.
- Experience of working with a diverse range of systems and applying complex data engineering techniques to resolve complex technical problems; demonstrate a positive disposition towards problem solving.
- Experience exercising substantial personal responsibility and autonomy, possessing organisational skills and the ability to work independently and with others.
- Experience influencing customers, supplier and peers on data and Business Intelligence development and processes.
- A commitment to self-development and continuous improvement, maintaining an awareness of developing data engineering practices and their application.
- Ability to clearly communicate complex technical information to both technical and non-technical audiences.
- Experience and knowledge of data analysis, Datamodelling and quality assurance techniques.
- Experience implementing web-oriented data transfer APIs.
- Experience designing, coding, testing and correcting complex SQL models and scripts.
- System/Data integration experience, including application programming interface design, and familiarity with web-oriented architecture techniques.
- Experience of building and maintaining effective customer relationships, at both user and management levels.
- Knowledge of relational database concepts.
Responsibilities
- Develop and maintain the structure of the reporting database and related data flows and transformations, to combine data from multiple sources for delivering data insights and business intelligence.
- Design, code, verify, test, document, amend and refactor complex scripts and data integration services to support the delivery of Business Intelligence and analytics capabilities.
- Develop, maintain and enhance database reporting views and semantic layers.
- Ensure technical solutions support the accessibility, irretrievability, security, quality, retention and ethical handling of specific sets of data.
- Examine data requirements, and apply data analysis, design, modelling and quality assurance techniques to modify or maintain data structures and associated data transformation components.
Please send your CV to Ahmed, and call to discuss further.
We are an equal opportunities employment agency and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
We champion difference in the world of technology recruitment and work with clients who actively wish to diversify their talent force - ALL applicants welcome to apply.